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Towards realistic optimization benchmarks

Published:2020-07-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
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Author:

van der Blom Koen¹,Deist Timo M.²,Tušar Tea³,Marchi Mariapia⁴,Nojima Yusuke⁵,Oyama Akira⁶,Volz Vanessa⁷,Naujoks Boris⁸

Affiliation:

1. Leiden University, Leiden, The Netherlands

2. Informatica Amsterdam, The Netherlands

3. Jozef Stefan Institute, Ljubljana, Slovenia

4. ESTECO SpA, Trieste, Italy

5. Osaka Prefecture University, Sakai, Osaka, Japan

6. Japan Aerospace Exploration Agency, Sagamihara, Japan

7. modl.ai, Copenhagen, Denmark

8. TH Köln, Gummersbach, Germany

Funder

NWO

Ministerie van Economische Zaken

Javna Agencija za Raziskovalno Dejavnost RS

H2020 Marie Sk?odowska-Curie Actions

Deutscher Akademischer Austauschdienst

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377929.3389974

Reference2 articles.

1. Regular Pareto Front Shape is not Realistic

2. A note on constrained multi-objective optimization benchmark problems

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1. Towards Constructing a Suite of Multi-objective Optimization Problems with Diverse Landscapes;Applications of Evolutionary Computation;2023

2. Identifying Properties of Real-World Optimisation Problems Through a Questionnaire;Natural Computing Series;2023

3. A Continuous Optimisation Benchmark Suite from Neural Network Regression;Lecture Notes in Computer Science;2022

4. Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget;2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2021-10-17

5. SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm;Lecture Notes in Computer Science;2021

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